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Revisiting the Stimulus, Organism, Response Model in AI-Driven Tourism: A Multi-Path Analysis of Personalization, Perception, and Privacy Arnas Hasanuddin; Achmad Ansari Hasanuddin; Askari Hasanuddin; Sitti Mujahida Baharuddin
STI Policy and Management Journal Vol 10, No 2 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.428

Abstract

This study revisits the Stimulus, Organism, Response (S-O-R) model to examine the psychological mechanisms underlying tourists’ responses to AI-based personalization on digital tourism platforms. Drawing on a sample of 360 Indonesian respondents collected via online survey, the research investigates how AI-driven personalization influences three organismic states perceived value, trust, and privacy concern and how these states affect tourists’ behavioral intentions. Using partial least squares structural equation modeling (PLS-SEM), the results reveal that personalization significantly enhances perceived value and trust, while also reducing privacy concern. Each of these organismic responses, in turn, significantly shapes behavioral intention, confirming the relevance of the extended S-O-R framework in the AI tourism context. Theoretically, the study contributes to tourism literature by integrating both positive and negative psychological reactions into a unified explanatory model, highlighting personalization’s dual role as both functional and ethical stimulus. Practically, the findings offer insights for tourism platforms to design AI services that are not only adaptive and efficient but also transparent and trust-enhancing. Limitations include the study’s cross-sectional design and geographic concentration, pointing to future research directions involving longitudinal analysis, cross-cultural comparisons, and exploration of moderating variables such as digital literacy and cultural norms.
Digital Payment Infrastructure and Household Consumption Growth: Evidence from QRIS and BI FAST in Indonesia Faridah; Herminawaty Abubakar; Thanwain; Sitti Mujahida Baharuddin
Global Review of Tourism and Social Sciences Vol. 2 No. 3 (2026): Global Review of Tourism and Social Sciences
Publisher : Yayasan Ghalih Pelopor Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/grtss.v2i3.521

Abstract

This study examines whether the expansion of digital payment infrastructure stimulates household consumption growth in Indonesia. Using a balanced provincial panel covering 2019 to 2024, it estimates the effects of QRIS merchant density and BI FAST exposure on real household consumption per capita through a fixed effects model that controls for regional heterogeneity, macroeconomic shocks, internet penetration, financial depth, economic structure, urbanisation, inflation, and population. The results indicate that greater QRIS merchant density significantly increases household consumption, with stronger effects in provinces characterised by higher informal employment and service sector activity. BI FAST further strengthens consumption growth in regions with greater initial banking access, suggesting that faster and lower cost interbank transfers improve liquidity circulation. These findings demonstrate that payment system modernisation promotes domestic demand in addition to advancing financial inclusion. The study provides new subnational evidence that investments in interoperable digital payment infrastructure can support household consumption, MSME development, and broader macroeconomic policy objectives.